- Ask-user tool. When the agent hits a judgment call (cost
confirmation, ambiguous field, a captcha), it pauses and asks you
in the chat, not in a page overlay. You answer, it resumes.
I'm really obsessed with the ask user tool on Claude Code,
and obviously I implemented it here also.
- Use oracle to plan complex tasks, take its help when stuck, and also to
create skills
- Sessions. Each task is its own session with its own tab(s) and
history. Switch between them and let the tasks run in the background.
- Bring your own key. Gemini, OpenAI, Anthropic, or any
OpenAI-compatible endpoint. No server of mine in the loop.
- Skills. Teach it or let it figure out a reusable flow and save it as
skill to reuse it.
- Auth handoff. When a login popup opens, the agent blocks, you
complete the auth, the agent picks back up. I purposefully didn't automate
things like auth/captcha, as the expectation of the current websites'
implementations isn't automation.
- Everything local. Traces of every run go to ~/.nimbus/traces/.
No telemetry, YET. Nothing reaches my servers, you just contact the LLM
providers directly.
Other things in the box:
good uiux. Youtube video sound track also good. Very inviting.
thank you so much for checking it out. please try it out on macos. supports multiple LLM providers.
Looks interesting. But how does it differ from your typical AI browsers that exist? Did you find any usage differences as UX is changed?